Stats: Data and Models
5th Edition
ISBN: 9780135164013
Author: DeVeaux
Publisher: PEARSON CO
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Chapter 11, Problem 56E
a.
To determine
Design an experiment to examine whether new ointment is more effective than the current medication.
b.
To determine
Explain the randomization procedure for assigning the treatments to the 8 patients using the given random numbers and alphabets of the last names.
c.
To determine
Explain the way to make the experiment double blind.
d.
To determine
Explain the changes that have to be made to first design for the second stage of testing.
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A major company in the Montreal area, offering a range of engineering services from project preparation to construction execution, and industrial project management, wants to ensure that the individuals who are responsible for project cost estimation and bid preparation demonstrate a certain uniformity in their estimates. The head of civil engineering and municipal services decided to structure an experimental plan to detect if there could be significant differences in project evaluation.
Seven projects were selected, each of which had to be evaluated by each of the two estimators, with the order of the projects submitted being random. The obtained estimates are presented in the table below.
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Compute the relative risk of falling for the two groups (did not stop walking vs. did stop). State/interpret your result verbally.
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Chapter 11 Solutions
Stats: Data and Models
Ch. 11.3 - 1. At one time, a method called “gastric freezing”...Ch. 11.4 - Prob. 2JCCh. 11 - Prob. 1ECh. 11 - 2. E-commerce A business student conjectures that...Ch. 11 - 3. Tips A pizza delivery driver, always trying to...Ch. 11 - 4. Tomatoes You want to compare the tastiness and...Ch. 11 - 5. Tips II For the experiment described in...Ch. 11 - 6. Tomatoes II For the experiment described in...Ch. 11 - 7. Tips again For the experiment of Exercise 3,...Ch. 11 - 8. Tomatoes again For the experiment of Exercise...
Ch. 11 - 9. More tips Is the experiment of Exercise 3...Ch. 11 - 10. More tomatoes If the tomato taster doesn’t...Ch. 11 - 11. Block that tip The driver of Exercise 3 wants...Ch. 11 - 12. Blocking tomatoes To obtain enough plants for...Ch. 11 - 13. Confounded tips For the experiment of Exercise...Ch. 11 - 14. Tomatoes finis What factors might confound the...Ch. 11 - 15. Standardized test scores For his statistics...Ch. 11 - 16. Heart attacks and height Researchers who...Ch. 11 - 17. MS and vitamin D Multiple sclerosis (MS) is an...Ch. 11 - 18. Super Bowl commercials When spending large...Ch. 11 - Prob. 19ECh. 11 - 20. Honesty Coffee stations in offices often just...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 21–34. What’s the design? Read each brief report...Ch. 11 - 35. Omega-3 Exercise 21 describes an experiment...Ch. 11 - 36. Insomnia Exercise 24 describes an experiment...Ch. 11 - 37. Omega-3, revisited Exercises 21 and 35...Ch. 11 - 38. Insomnia, again Exercises 24 and 36 describe...Ch. 11 - 39. Omega-3, finis Exercises 21, 35, and 37...Ch. 11 - 40. Insomnia, at last Exercises 24, 36, and 38...Ch. 11 - 41. Injuries Exercise 33 describes an experiment...Ch. 11 - 42. Tomatoes II Describe a strategy to randomly...Ch. 11 - 43. Shoes A running-shoe manufacturer wants to...Ch. 11 - 44. Swimsuits A swimsuit manufacturer wants to...Ch. 11 - 45. Hamstrings Exercise 33 discussed an experiment...Ch. 11 - 46. Diet and blood pressure An experiment showed...Ch. 11 - Prob. 47ECh. 11 - 48. Contrast baths Contrast bath treatments use...Ch. 11 - 49. Wine A Danish study published in the Archives...Ch. 11 - 50. Swimming Recently, a group of adults who swim...Ch. 11 - 51. Dowsing Before drilling for water, many rural...Ch. 11 - 52. Healing A medical researcher suspects that...Ch. 11 - 53. Reading Some schools teach reading using...Ch. 11 - 54. Gas mileage Do cars get better gas mileage...Ch. 11 - 55. Weekend deaths A study published in the New...Ch. 11 - 56. Shingles A research doctor has discovered a...Ch. 11 - 57. Beetles Hoping to learn how to control crop...Ch. 11 - 58. SAT prep Can special study courses actually...Ch. 11 - 59. Safety switch An industrial machine requires...Ch. 11 - 60. Washing clothes A consumer group wants to test...Ch. 11 - 61. Skydiving, anyone? A humor piece published in...
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- Question 1 The data shown in Table 1 are and R values for 24 samples of size n = 5 taken from a process producing bearings. The measurements are made on the inside diameter of the bearing, with only the last three decimals recorded (i.e., 34.5 should be 0.50345). Table 1: Bearing Diameter Data Sample Number I R Sample Number I R 1 34.5 3 13 35.4 8 2 34.2 4 14 34.0 6 3 31.6 4 15 37.1 5 4 31.5 4 16 34.9 7 5 35.0 5 17 33.5 4 6 34.1 6 18 31.7 3 7 32.6 4 19 34.0 8 8 33.8 3 20 35.1 9 34.8 7 21 33.7 2 10 33.6 8 22 32.8 1 11 31.9 3 23 33.5 3 12 38.6 9 24 34.2 2 (a) Set up and R charts on this process. Does the process seem to be in statistical control? If necessary, revise the trial control limits. [15 pts] (b) If specifications on this diameter are 0.5030±0.0010, find the percentage of nonconforming bearings pro- duced by this process. Assume that diameter is normally distributed. [10 pts] 1arrow_forward4. (5 pts) Conduct a chi-square contingency test (test of independence) to assess whether there is an association between the behavior of the elderly person (did not stop to talk, did stop to talk) and their likelihood of falling. Below, please state your null and alternative hypotheses, calculate your expected values and write them in the table, compute the test statistic, test the null by comparing your test statistic to the critical value in Table A (p. 713-714) of your textbook and/or estimating the P-value, and provide your conclusions in written form. Make sure to show your work. Did not stop walking to talk Stopped walking to talk Suffered a fall 12 11 Totals 23 Did not suffer a fall | 2 Totals 35 37 14 46 60 Tarrow_forwardQuestion 2 Parts manufactured by an injection molding process are subjected to a compressive strength test. Twenty samples of five parts each are collected, and the compressive strengths (in psi) are shown in Table 2. Table 2: Strength Data for Question 2 Sample Number x1 x2 23 x4 x5 R 1 83.0 2 88.6 78.3 78.8 3 85.7 75.8 84.3 81.2 78.7 75.7 77.0 71.0 84.2 81.0 79.1 7.3 80.2 17.6 75.2 80.4 10.4 4 80.8 74.4 82.5 74.1 75.7 77.5 8.4 5 83.4 78.4 82.6 78.2 78.9 80.3 5.2 File Preview 6 75.3 79.9 87.3 89.7 81.8 82.8 14.5 7 74.5 78.0 80.8 73.4 79.7 77.3 7.4 8 79.2 84.4 81.5 86.0 74.5 81.1 11.4 9 80.5 86.2 76.2 64.1 80.2 81.4 9.9 10 75.7 75.2 71.1 82.1 74.3 75.7 10.9 11 80.0 81.5 78.4 73.8 78.1 78.4 7.7 12 80.6 81.8 79.3 73.8 81.7 79.4 8.0 13 82.7 81.3 79.1 82.0 79.5 80.9 3.6 14 79.2 74.9 78.6 77.7 75.3 77.1 4.3 15 85.5 82.1 82.8 73.4 71.7 79.1 13.8 16 78.8 79.6 80.2 79.1 80.8 79.7 2.0 17 82.1 78.2 18 84.5 76.9 75.5 83.5 81.2 19 79.0 77.8 20 84.5 73.1 78.2 82.1 79.2 81.1 7.6 81.2 84.4 81.6 80.8…arrow_forward
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